


"""simple docstring"""


import argparse
import os
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available




def 	snake_case		(  UpperCamelCase__							:    str=None     ) ->   int:




      if subparsers is not None:
            lowerCamelCase       :       Tuple   =						subparsers.add_parser("""env"""     )
      else:
            lowerCamelCase       :       str   =						argparse.ArgumentParser("""Accelerate env command"""     )

      parser.add_argument(
          """--config_file"""      ,					default=_lowerCamelCase      ,					help="""The config file to use for the default values in the launching script."""     )

      if subparsers is not None:
            parser.set_defaults(func=_lowerCamelCase     )
      return parser




def 	snake_case		(  UpperCamelCase__							:    int     ) ->   List[Any]:
      lowerCamelCase       :       List[Any]   =						torch.__version__
      lowerCamelCase       :       Any   =						torch.cuda.is_available()
      lowerCamelCase       :       Dict   =						is_xpu_available()
      lowerCamelCase       :       str   =						is_npu_available()

      lowerCamelCase       :       List[str]   =						"""Not found"""
      # Get the default from the config file.
      if args.config_file is not None or os.path.isfile(_lowerCamelCase     ):
            lowerCamelCase       :       int   =						load_config_from_file(args.config_file     ).to_dict()

      lowerCamelCase       :       str   =						{
          """`Accelerate` version""": version,
          """Platform""": platform.platform(),
          """Python version""": platform.python_version(),
          """Numpy version""": np.__version__,
          """PyTorch version (GPU?)""": F'{pt_version} ({pt_cuda_available})',
          """PyTorch XPU available""": str(_lowerCamelCase     ),
          """PyTorch NPU available""": str(_lowerCamelCase     ),
          """System RAM""": F'{psutil.virtual_memory().total / 1024 ** 3:.2f} GB',
      }
      if pt_cuda_available:
            lowerCamelCase       :       List[str]   =						torch.cuda.get_device_name()

      print("""\nCopy-and-paste the text below in your GitHub issue\n"""     )
      print("""\n""".join([F'- {prop}: {val}' for prop, val in info.items()]     )     )

      print("""- `Accelerate` default config:""" if args.config_file is None else """- `Accelerate` config passed:"""     )
      lowerCamelCase       :       Union[str, Any]   =						(
          """\n""".join([F'\t- {prop}: {val}' for prop, val in accelerate_config.items()]     )
          if isinstance(_lowerCamelCase      ,					_lowerCamelCase     )
          else F'\t{accelerate_config}'
      )
      print(_lowerCamelCase     )

      lowerCamelCase       :       Dict   =						accelerate_config

      return info




def 	snake_case		(  ) ->   int:
      lowerCamelCase       :       int   =						env_command_parser()
      lowerCamelCase       :       Union[str, Any]   =						parser.parse_args()
      env_command(_lowerCamelCase     )
      return 0


if __name__ == "__main__":
    raise SystemExit(main())






"""simple docstring"""






UpperCAmelCase        =				8.3_144_598




def __magic_name__	(				_lowerCamelCase:		float,					_lowerCamelCase:		float			)					->						float:

	'''simple docstring'''




	if temperature < 0:
		raise Exception('''Temperature cannot be less than 0 K'''			)
	if molar_mass <= 0:
		raise Exception('''Molar mass cannot be less than or equal to 0 kg/mol'''			)
	else:
		return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
					import doctest

					# run doctest
					doctest.testmod()

					# example
					UpperCAmelCase        =				3_0_0
					UpperCAmelCase        =				2_8
					UpperCAmelCase        =				rms_speed_of_molecule(temperature, molar_mass)
					print(f"""Vrms of Nitrogen gas at 300 K is {vrms} m/s""")


